Integrate Site24x7 with AI assistants using Zoho MCP

Connecting Site24x7 with your AI assistants enables real-time insights, automated remediation, and smarter decision-making without manual intervention. By integrating your Zoho MCP server with Site24x7, you can trigger monitoring commands, manage monitor groups and tags, monitor IT automations, and access telemetry directly through your MCP clients. This connection ensures seamless agent deployment, continuous performance tracking, and centralized visibility across your entire infrastructure.

What is an MCP server?

An MCP (Model Context Protocol) server acts as the central management layer that bridges your MCP clients (i.e., it connects your AI assistant with other components of your digital ecosystem). It enables any connected tool to use MCP clients as their information source and execution handlers. Through MCP clients, you can communicate with devices, run automations and scripts, and perform various actions using NLP-based commands.

Use cases

• An AI assistant can respond to queries like "Show me servers with high CPU usage in the last 2 hours"—prompting the MCP server to fetch live metrics from Site24x7 and return results instantly.
• During an outage, AI can suggest next checks—logs, memory spikes, geographical latency—from live Site24x7 data, helping reduce MTTR.
• During a CPU threshold breach, you can instruct your AI assistant to trigger the configured Site24x7 IT Automation or script execution with a simple command, like "Run the restart-service script on the affected VM."

Benefits of integrating Site24x7 with a Zoho MCP server

• Get Site24x7 insights through natural language conversations without manual queries.
• Resolve IT issues faster by triggering automations directly via AI prompts.
• Centralize all monitoring and actions through one connected interface.
• Accelerate routine checks and troubleshooting with reduced manual effort.

Why should you integrate Site24x7 with Zoho MCP?

Site24x7 is integrated as a configured service in the Zoho MCP console. Doing so allows your AI assistants to gain controlled access to the Site24x7 APIs of all major modules. Instead of writing API queries or scripts, users can simply ask questions in plain language. Whether it's about monitor usage, tags, reports, performance and availability metrics, or alerts, the MCP clients contact the MCP endpoints which then translates them into the correct Site24x7 API request, and returns the response seamlessly in natural language.

Available regions

Zoho MCP is available in the following data regions:

• US (United States)
• EU (Europe)
• IN (India)
• AU (Australia)
• CA (Canada)
• SA (Saudi Arabia)
• JP (Japan)
• UAE (United Arab Emirates)

Supported MCP clients

• Claude
• Cursor
• Windsurf
• Visual Studio Code

How to secure the integration between Zoho MCP and Site24x7

Zoho MCP ensures secure access to Site24x7 by allowing you to control how users authenticate and interact with monitoring resources. You can enable user-level authorization for tight access control or configure a shared connection for trusted, internal workflows.

The two formats of available authorization are:

• Authorization on Demand: Each user signs in through OAuth before accessing Site24x7 data or actions. This is ideal for audit-critical environments, where every API call or AI-driven request must be tied to an identifiable user.
• Authorization via Connection: The MCP server maintains a verified connection to Site24x7, allowing AI assistants and users to operate without repeated logins. This reduces friction for routine tasks, automation, and large teams requiring continuous access.

Choosing the appropriate method balances security with convenience: user-level access delivers strong traceability, while server-level authorization streamlines operations—both backed by secure OAuth authentication.

How to integrate Site24x7 with a Zoho MCP server

To integrate your Zoho MCP with Site24x7, follow the below steps:

1. Create your Zoho MCP account.
2. Set up a new MCP server in Zoho MCP.
3. Go to the Tools section, search for Site24x7, and add the tools you want.
   
   
4. Select your Authorization Method. You can use Authorization on Demand or Authorization via Connection.
   
   
5. Open the Connect page and copy the MCP server URL.
6. Add this URL to your MCP clients such as Claude, Cursor, Windsurf, or Visual Studio Code.

How to connect your Zoho MCP server with MCP clients

Claude

Connect Claude with Zoho MCP to handle real-world workflows through a secure and straightforward conversation.

1. Navigate to claude.ai/settings/integrations.
2. Select Connectors > Add Custom Connectors.
3. Enter Zoho MCP as the Integration name and paste the Integration URL.
4. Click Add.

How to access Zoho MCP tools in Claude

To access Zoho MCP tools in Claude and perform the required actions, follow the below steps:

1. Open a new chat.
2. Go to Search and tools.
3. Choose the Zoho MCP connection.
4. Select the tools you want to use in the chat.
5. Then, ask Claude to carry out the actions you need.
   
   

Cursor

To connect your Zoho MCP to Cursor:

1. Use tools from Zoho MCP directly inside Cursor IDE.
2. Enable your AI assistant to perform real-world actions securely without leaving your coding workspace.

How to set up Zoho MCP in Cursor 

In Cursor's Settings page, click Add to Cursor to set it up automatically. If that doesn’t work or you want to modify the setup, use the steps below:

1. Open Cursor settings (⇧ + ⌘ + J).
2. Go to the MCP Tools tab and click New MCP Server.
3. Copy and paste the following JSON configuration below, then save it using CMD + S or CTRL + S:
   

   {
   "mcpServers": {
   "ZohoMCP": {
   "command": "npx",
   "args": [
   "mcp-remote",
   "https://site24x7-mcp-******.zohomcp.com/mcp", (your MCP URL)
   "--transport",
   "http-only"
   ]
   }
   }
   }

How to activate Agent mode

To activate the Agent mode, ensure that the chat is set to Agent mode to access Zoho MCP tools within Cursor.

Windsurf

To connect Zoho MCP to Windsurf, use Zoho MCP inside the Windsurf IDE. Your AI assistant can handle real actions through a secure and simple connection, all from your coding environment.

How to configure Zoho MCP in Windsurf

To configure Zoho MCP in Windsurf:

1. Open Windsurf settings (⌘ + ,).
2. Go to the Cascade tab, then click Add Server.
3. Select Add custom server +.
4. Add the following JSON configuration, replacing the placeholder key with your MCP key from below:
   

   {
   "mcpServers": {
   "ZohoMCP": {
   "command": "npx",
   "args": [
   "mcp-remote",
   "https://site24x7-mcp-******.zohomcp.com/mcp", (your MCP URL)
   "--transport",
   "http-only"
   ]
   }
   }
   }

Visual Studio Code

You can use tools inside Visual Studio Code through Zoho MCP. This lets your AI assistant handle actions in a secure and simple way, without leaving your coding workspace.

How to configure Zoho MCP in Visual Studio Code

To configure Zoho MCP in Visual Studio Code:

1. Open the Visual Studio Code Command Palette (⇧ + ⌘ + P on Mac, Ctrl + Shift + P on Windows).
2. Type "MCP: Add Server", then press Enter.
3. Choose HTTP (HTTP or Server-Sent Events), then press Enter.
4. Paste your MCP key into the Server Key field, then press Enter.
5. Provide a server name, then press Enter.
6. Make sure GitHub Copilot is set to Agent mode.
7. Ask GitHub Copilot to use tools from your Zoho MCP server.
   
   

Real-time examples to understand the MCP workflow

Here are some real-time examples to understand how a Zoho MCP server processes user request and responds to it.
Scenario 1: On-demand IT insights using a Zoho MCP integrated with Site24x7
Let the user prompt be: "Generate an availability summary for last month and highlight major outages from a business perspective."

For such a prompt, the Zoho MCP follows the sequence of steps below to respond:

1. The AI assistant receives the request and understands that the user wants a high-level availability summary suitable for leadership reporting.
2. The assistant identifies that this requires Site24x7 reporting and availability data exposed as tools via Zoho MCP.
3. Relevant Site24x7 tools are invoked:
   • getAvailabilitySummaryReport to fetch uptime, downtime, and SLA metrics.
   • getOutageReport to identify major outage events and their duration.
   • listMonitorGroups or listMonitors to scope data across critical services.
4. The MCP server forwards these tool requests to Site24x7 using existing Site24x7 APIs. Site24x7 itself does not run an MCP server—it is securely exposed as a tool through Zoho MCP.
5. Site24x7 sends structured availability and outage data back to the MCP server, which relays it to the AI assistant.
6. The assistant analyzes uptime trends, outage frequency, and impact, then converts raw metrics into a business-friendly summary.

Scenario 2: Inventory and tag management

Let the user prompt be: "Show me all database servers tagged as production and update their ownership tag to Platform Team."

For this prompt, Zoho MCP follows the sequence of steps below to respond:

1. The AI assistant understands that the user wants to view and update monitor inventory and metadata.
2. The assistant identifies Site24x7 inventory and tag management tools exposed via Zoho MCP.
3. Relevant Site24x7 tools are invoked:
   • listMonitors or getMonitorInventory to retrieve monitors by tag.
   • updateMonitorTags to modify ownership or classification tags.
4. The MCP server passes these requests to Site24x7 through existing APIs.
5. Site24x7 returns a confirmation and updated inventory details.
6. The assistant summarizes the changes made and confirms successful updates to the user.
   
   

Scenario 3: IT automation discovery and execution

Let the user prompt be: "Find an automation to restart a failed web service and trigger it for the affected server."

For this prompt, Zoho MCP follows the sequence of steps below to respond:

1. The AI assistant understands that the user wants to identify and execute an IT automation.
2. The assistant identifies Site24x7 IT automation tools exposed via Zoho MCP.
3. Relevant Site24x7 tools are invoked:
   • listITAutomations to find suitable automations.
   • getAutomationDetails to validate scope and conditions.
   • executeAutomation to trigger the selected automation.
4. The MCP server forwards the automation request to Site24x7.
5. Site24x7 executes the automation and returns the execution status.
6. The assistant reports the action taken and the outcome to the user.
   
   

Scenario 4: Root cause analysis (RCA) and technician assignment

Let the user prompt be: "Analyze the recent outage affecting my payment service and assign it to the appropriate technician."

For this prompt, Zoho MCP follows the sequence of steps below to respond:

1. The AI assistant understands that the user wants RCA and incident assignment.
2. The assistant identifies Site24x7 event correlation, outage, and incident management tools exposed via Zoho MCP.
3. Relevant Site24x7 tools are invoked:
   • getOutageReport to retrieve outage details.
   • getEventCorrelationData to identify related events.
   • getRootCauseAnalysis to determine the probable cause.
     assignTechnician to assign ownership.
4. The MCP server forwards these requests to Site24x7 APIs.
5. Site24x7 returns RCA insights and assignment confirmation.
6. The assistant summarizes the root cause and confirms the technician assignment to the user.

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FAQ on integrating a Zoho MCP server with Site24x7